code: def get_quantiles(acquisition_par, fmin, m, s):
      """
      Quantiles of the Gaussian distribution useful to determine the acquisition function values
      :param acquisition_par: parameter of the acquisition function
      :param fmin: current minimum.
      :param m: vector of means.
      :param s: vector of standard deviations.
      """
      if isinstance(s, np.ndarray):
          s[s < 1e-10] = 1e-10
      elif s < 1e-10:
          s = 1e-10
      u = (fmin - m - acquisition_par) / s
      phi = np.exp(-0.5 * u**2) / np.sqrt(2 * np.pi)
      Phi = 0.5 * erfc(-u / np.sqrt(2))
      return (phi, Phi, u)
  
file_path: GPyOpt/GPyOpt/util/general.py
imports: import numpy
  from scipy.special import erfc
  import time
  from ..core.errors import InvalidConfigError
label_desc: Use image node_id 8 for calling a global function with example usage: get_quantiles(acquisition_par, fmin, m, s) and returns: phi,  Phi,  u